YData Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	14
Number of observations	16743
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.9 MiB
Average record size in memory	121.0 B

Variable types

Numeric	8
DateTime	1
Categorical	1
Text	4

Alerts

`avg_temp` is highly overall correlated with `max_temp` and 1 other fields	High correlation
`max_temp` is highly overall correlated with `avg_temp` and 1 other fields	High correlation
`min_temp` is highly overall correlated with `avg_temp` and 1 other fields	High correlation
`year` is highly imbalanced (86.5%)	Imbalance
`precipitation` has 4324 (25.8%) zeros	Zeros
`wind_direction` has 223 (1.3%) zeros	Zeros
`wind_speed` has 223 (1.3%) zeros	Zeros

Reproduction

Analysis started	2025-08-16 14:36:01.942292
Analysis finished	2025-08-16 14:36:11.341698
Duration	9.4 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

precipitation
Real number (ℝ)

Zeros

Distinct	565
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.57909037

Minimum	0
Maximum	20.89
Zeros	4324
Zeros (%)	25.8%
Negative	0
Negative (%)	0.0%
Memory size	147.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.19
Q3	0.75
95-th percentile	2.38
Maximum	20.89
Range	20.89
Interquartile range (IQR)	0.75

Descriptive statistics

Standard deviation	0.98805716
Coefficient of variation (CV)	1.7062228
Kurtosis	34.213837
Mean	0.57909037
Median Absolute Deviation (MAD)	0.19
Skewness	4.2079949
Sum	9695.71
Variance	0.97625695
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	4324	25.8%
0.01	549	3.3%
0.02	366	2.2%
0.03	333	2.0%
0.04	279	1.7%
0.05	249	1.5%
0.06	205	1.2%
0.11	199	1.2%
0.07	195	1.2%
0.08	194	1.2%
Other values (555)	9850	58.8%

Value	Count	Frequency (%)
0.0	4324	25.8%
0.01	549	3.3%
0.02	366	2.2%
0.03	333	2.0%
0.04	279	1.7%
0.05	249	1.5%
0.06	205	1.2%
0.07	195	1.2%
0.08	194	1.2%
0.09	193	1.2%

Value	Count	Frequency (%)
20.89	1	< 0.1%
15.19	1	< 0.1%
14.03	1	< 0.1%
13.36	1	< 0.1%
12.65	1	< 0.1%
12.02	1	< 0.1%
11.52	1	< 0.1%
10.58	1	< 0.1%
10.49	1	< 0.1%
10.34	1	< 0.1%

avg_temp
Real number (ℝ)

High correlation

Distinct	119
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.089112

Minimum	-27
Maximum	100
Zeros	15
Zeros (%)	0.1%
Negative	79
Negative (%)	0.5%
Memory size	147.3 KiB

Quantile statistics

Minimum	-27
5-th percentile	23
Q1	44
median	58
Q3	71
95-th percentile	83
Maximum	100
Range	127
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	18.798295
Coefficient of variation (CV)	0.33515051
Kurtosis	-0.013455145
Mean	56.089112
Median Absolute Deviation (MAD)	14
Skewness	-0.55250384
Sum	939100
Variance	353.37588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	643	3.8%
58	338	2.0%
74	329	2.0%
57	328	2.0%
56	325	1.9%
72	322	1.9%
75	320	1.9%
55	319	1.9%
59	315	1.9%
61	314	1.9%
Other values (109)	13190	78.8%

Value	Count	Frequency (%)
-27	1	< 0.1%
-21	2	< 0.1%
-20	1	< 0.1%
-19	2	< 0.1%
-18	3	< 0.1%
-15	1	< 0.1%
-14	1	< 0.1%
-13	3	< 0.1%
-11	2	< 0.1%
-10	1	< 0.1%

Value	Count	Frequency (%)
100	1	< 0.1%
99	1	< 0.1%
98	4	< 0.1%
97	2	< 0.1%
95	1	< 0.1%
94	3	< 0.1%
93	8	< 0.1%
92	7	< 0.1%
91	10	0.1%
90	13	0.1%

max_temp
Real number (ℝ)

High correlation

Distinct	125
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66.042406

Minimum	-19
Maximum	111
Zeros	6
Zeros (%)	< 0.1%
Negative	31
Negative (%)	0.2%
Memory size	147.3 KiB

Quantile statistics

Minimum	-19
5-th percentile	30
Q1	53
median	68
Q3	82
95-th percentile	93
Maximum	111
Range	130
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	19.787954
Coefficient of variation (CV)	0.29962497
Kurtosis	-0.056357295
Mean	66.042406
Median Absolute Deviation (MAD)	14
Skewness	-0.5928578
Sum	1105748
Variance	391.56313
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	592	3.5%
82	390	2.3%
84	366	2.2%
83	363	2.2%
81	360	2.2%
86	359	2.1%
80	349	2.1%
85	335	2.0%
70	325	1.9%
66	311	1.9%
Other values (115)	12993	77.6%

Value	Count	Frequency (%)
-19	1	< 0.1%
-16	1	< 0.1%
-15	1	< 0.1%
-11	4	< 0.1%
-10	2	< 0.1%
-9	1	< 0.1%
-8	1	< 0.1%
-7	2	< 0.1%
-6	1	< 0.1%
-5	3	< 0.1%

Value	Count	Frequency (%)
111	2	< 0.1%
110	4	< 0.1%
109	4	< 0.1%
107	6	< 0.1%
106	4	< 0.1%
105	9	0.1%
104	13	0.1%
103	22	0.1%
102	13	0.1%
101	29	0.2%

min_temp
Real number (ℝ)

High correlation

Distinct	114
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.642716

Minimum	-35
Maximum	88
Zeros	40
Zeros (%)	0.2%
Negative	214
Negative (%)	1.3%
Memory size	147.3 KiB

Quantile statistics

Minimum	-35
5-th percentile	14
Q1	33
median	47
Q3	60
95-th percentile	73
Maximum	88
Range	123
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	18.559263
Coefficient of variation (CV)	0.40662047
Kurtosis	-0.11371736
Mean	45.642716
Median Absolute Deviation (MAD)	13
Skewness	-0.43089864
Sum	764196
Variance	344.44623
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	550	3.3%
52	343	2.0%
49	331	2.0%
47	328	2.0%
46	325	1.9%
51	324	1.9%
54	320	1.9%
53	318	1.9%
58	316	1.9%
45	314	1.9%
Other values (104)	13274	79.3%

Value	Count	Frequency (%)
-35	1	< 0.1%
-28	2	< 0.1%
-27	2	< 0.1%
-26	3	< 0.1%
-24	1	< 0.1%
-23	1	< 0.1%
-21	3	< 0.1%
-20	3	< 0.1%
-19	3	< 0.1%
-18	2	< 0.1%

Value	Count	Frequency (%)
88	2	< 0.1%
87	2	< 0.1%
85	4	< 0.1%
83	2	< 0.1%
82	10	0.1%
81	13	0.1%
80	32	0.2%
79	44	0.3%
78	74	0.4%
77	92	0.5%

wind_direction
Real number (ℝ)

Zeros

Distinct	37
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.791316

Minimum	0
Maximum	36
Zeros	223
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	147.3 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	15
median	19
Q3	23
95-th percentile	28
Maximum	36
Range	36
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.4615273
Coefficient of variation (CV)	0.3438571
Kurtosis	0.21101361
Mean	18.791316
Median Absolute Deviation (MAD)	4
Skewness	-0.48168313
Sum	314623
Variance	41.751335
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
21	1134	6.8%
20	1087	6.5%
22	1065	6.4%
19	1046	6.2%
18	991	5.9%
23	990	5.9%
17	916	5.5%
16	896	5.4%
24	862	5.1%
25	777	4.6%
Other values (27)	6979	41.7%

Value	Count	Frequency (%)
0	223	1.3%
1	21	0.1%
2	48	0.3%
3	63	0.4%
4	126	0.8%
5	146	0.9%
6	135	0.8%
7	168	1.0%
8	228	1.4%
9	310	1.9%

Value	Count	Frequency (%)
36	16	0.1%
35	20	0.1%
34	32	0.2%
33	42	0.3%
32	76	0.5%
31	126	0.8%
30	183	1.1%
29	263	1.6%
28	397	2.4%
27	519	3.1%

wind_speed
Real number (ℝ)

Zeros

Distinct	1461
Distinct (%)	8.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.3298202

Minimum	0
Maximum	61.1
Zeros	223
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	147.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1.81
Q1	4.04
median	5.94
Q3	8.08
95-th percentile	11.95
Maximum	61.1
Range	61.1
Interquartile range (IQR)	4.04

Descriptive statistics

Standard deviation	3.4947853
Coefficient of variation (CV)	0.55211446
Kurtosis	20.740846
Mean	6.3298202
Median Absolute Deviation (MAD)	2
Skewness	2.4603892
Sum	105980.18
Variance	12.213524
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	223	1.3%
5.7	48	0.3%
5.6	48	0.3%
7.2	46	0.3%
6.3	46	0.3%
5.9	46	0.3%
5.1	46	0.3%
5.4	45	0.3%
4.7	45	0.3%
4.6	44	0.3%
Other values (1451)	16106	96.2%

Value	Count	Frequency (%)
0.0	223	1.3%
0.15	1	< 0.1%
0.18	2	< 0.1%
0.2	2	< 0.1%
0.25	2	< 0.1%
0.26	1	< 0.1%
0.28	1	< 0.1%
0.3	6	< 0.1%
0.32	1	< 0.1%
0.34	1	< 0.1%

Value	Count	Frequency (%)
61.1	1	< 0.1%
52.6	1	< 0.1%
50.06	1	< 0.1%
49.6	1	< 0.1%
47.56	1	< 0.1%
47.2	1	< 0.1%
45.16	1	< 0.1%
43.85	1	< 0.1%
43.34	1	< 0.1%
43.25	1	< 0.1%

date_full
Date

Distinct	53
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	130.9 KiB

Minimum	2016-01-03 00:00:00
Maximum	2017-01-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

year
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	130.9 KiB

2016	16426
2017	317

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	66972
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016
2nd row	2016
3rd row	2016
4th row	2016
5th row	2016

Common Values

Value	Count	Frequency (%)
2016	16426	98.1%
2017	317	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2016	16426	98.1%
2017	317	1.9%

Most occurring characters

Value	Count	Frequency (%)
2	16743	25.0%
0	16743	25.0%
1	16743	25.0%
6	16426	24.5%
7	317	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	66972	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	16743	25.0%
0	16743	25.0%
1	16743	25.0%
6	16426	24.5%
7	317	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	66972	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	16743	25.0%
0	16743	25.0%
1	16743	25.0%
6	16426	24.5%
7	317	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	66972	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	16743	25.0%
0	16743	25.0%
1	16743	25.0%
6	16426	24.5%
7	317	0.5%

month
Real number (ℝ)

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.3431285

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	147.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.490723
Coefficient of variation (CV)	0.55031566
Kurtosis	-1.2144816
Mean	6.3431285
Median Absolute Deviation (MAD)	3
Skewness	0.0069942293
Sum	106203
Variance	12.185147
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	1892	11.3%
5	1585	9.5%
10	1585	9.5%
7	1572	9.4%
8	1268	7.6%
12	1268	7.6%
4	1265	7.6%
9	1265	7.6%
3	1262	7.5%
6	1262	7.5%
Other values (2)	2519	15.0%

Value	Count	Frequency (%)
1	1892	11.3%
2	1260	7.5%
3	1262	7.5%
4	1265	7.6%
5	1585	9.5%
6	1262	7.5%
7	1572	9.4%
8	1268	7.6%
9	1265	7.6%
10	1585	9.5%

Value	Count	Frequency (%)
12	1268	7.6%
11	1259	7.5%
10	1585	9.5%
9	1265	7.6%
8	1268	7.6%
7	1572	9.4%
6	1262	7.5%
5	1585	9.5%
4	1265	7.6%
3	1262	7.5%

week_of
Real number (ℝ)

Distinct	31
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.650242

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	147.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	24
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	8.9234249
Coefficient of variation (CV)	0.57017808
Kurtosis	-1.1987441
Mean	15.650242
Median Absolute Deviation (MAD)	8
Skewness	0.024204995
Sum	262032
Variance	79.627513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
3	948	5.7%
17	945	5.6%
24	945	5.6%
10	945	5.6%
6	634	3.8%
1	634	3.8%
4	634	3.8%
18	633	3.8%
25	633	3.8%
11	633	3.8%
Other values (21)	9159	54.7%

Value	Count	Frequency (%)
1	634	3.8%
2	317	1.9%
3	948	5.7%
4	634	3.8%
5	317	1.9%
6	634	3.8%
7	632	3.8%
8	317	1.9%
9	317	1.9%
10	945	5.6%

Value	Count	Frequency (%)
31	629	3.8%
30	317	1.9%
29	317	1.9%
28	632	3.8%
27	629	3.8%
26	315	1.9%
25	633	3.8%
24	945	5.6%
23	317	1.9%
22	317	1.9%

city
Text

Distinct	307
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	130.9 KiB

Length

Max length	25
Median length	20
Mean length	8.8165203
Min length	3

Characters and Unicode

Total characters	147615
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Birmingham
2nd row	Huntsville
3rd row	Mobile
4th row	Montgomery
5th row	Anchorage

Value	Count	Frequency (%)
city	477	2.2%
san	265	1.2%
falls	265	1.2%
lake	253	1.2%
beach	212	1.0%
fort	212	1.0%
st	212	1.0%
grand	212	1.0%
island	159	0.7%
santa	106	0.5%
Other values (337)	18853	88.8%

Most occurring characters

Value	Count	Frequency (%)
a	13728	9.3%
e	11833	8.0%
o	10641	7.2%
n	10605	7.2%
l	9902	6.7%
i	9296	6.3%
r	8292	5.6%
t	8190	5.5%
s	6818	4.6%
u	4753	3.2%
Other values (45)	53557	36.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	147615	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	13728	9.3%
e	11833	8.0%
o	10641	7.2%
n	10605	7.2%
l	9902	6.7%
i	9296	6.3%
r	8292	5.6%
t	8190	5.5%
s	6818	4.6%
u	4753	3.2%
Other values (45)	53557	36.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	147615	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	13728	9.3%
e	11833	8.0%
o	10641	7.2%
n	10605	7.2%
l	9902	6.7%
i	9296	6.3%
r	8292	5.6%
t	8190	5.5%
s	6818	4.6%
u	4753	3.2%
Other values (45)	53557	36.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	147615	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	13728	9.3%
e	11833	8.0%
o	10641	7.2%
n	10605	7.2%
l	9902	6.7%
i	9296	6.3%
r	8292	5.6%
t	8190	5.5%
s	6818	4.6%
u	4753	3.2%
Other values (45)	53557	36.3%

code
Text

Distinct	318
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	130.9 KiB

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	50229
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BHM
2nd row	HSV
3rd row	MOB
4th row	MGM
5th row	ANC

Value	Count	Frequency (%)
bhm	53	0.3%
gkn	53	0.3%
ann	53	0.3%
bet	53	0.3%
btt	53	0.3%
cdb	53	0.3%
inw	53	0.3%
cdv	53	0.3%
fai	53	0.3%
hom	53	0.3%
Other values (308)	16213	96.8%

Most occurring characters

Value	Count	Frequency (%)
A	3865	7.7%
S	3804	7.6%
L	3286	6.5%
T	3061	6.1%
B	2756	5.5%
C	2756	5.5%
G	2566	5.1%
N	2535	5.0%
D	2479	4.9%
I	2426	4.8%
Other values (19)	20695	41.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50229	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	3865	7.7%
S	3804	7.6%
L	3286	6.5%
T	3061	6.1%
B	2756	5.5%
C	2756	5.5%
G	2566	5.1%
N	2535	5.0%
D	2479	4.9%
I	2426	4.8%
Other values (19)	20695	41.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50229	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	3865	7.7%
S	3804	7.6%
L	3286	6.5%
T	3061	6.1%
B	2756	5.5%
C	2756	5.5%
G	2566	5.1%
N	2535	5.0%
D	2479	4.9%
I	2426	4.8%
Other values (19)	20695	41.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50229	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	3865	7.7%
S	3804	7.6%
L	3286	6.5%
T	3061	6.1%
B	2756	5.5%
C	2756	5.5%
G	2566	5.1%
N	2535	5.0%
D	2479	4.9%
I	2426	4.8%
Other values (19)	20695	41.2%

location
Text

Distinct	318
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	130.9 KiB

Length

Max length	29
Median length	24
Mean length	12.81652
Min length	7

Characters and Unicode

Total characters	214587
Distinct characters	58
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Birmingham, AL
2nd row	Huntsville, AL
3rd row	Mobile, AL
4th row	Montgomery, AL
5th row	Anchorage, AK

Value	Count	Frequency (%)
ak	1719	4.5%
tx	1272	3.4%
ca	999	2.6%
fl	636	1.7%
mt	630	1.7%
mi	477	1.3%
city	477	1.3%
or	424	1.1%
ne	424	1.1%
ny	424	1.1%
Other values (386)	30487	80.3%

Most occurring characters

Value	Count	Frequency (%)
	21226	9.9%
,	16743	7.8%
a	13728	6.4%
e	11833	5.5%
o	10641	5.0%
n	10605	4.9%
l	9902	4.6%
i	9296	4.3%
r	8292	3.9%
t	8190	3.8%
Other values (48)	94131	43.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	214587	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	21226	9.9%
,	16743	7.8%
a	13728	6.4%
e	11833	5.5%
o	10641	5.0%
n	10605	4.9%
l	9902	4.6%
i	9296	4.3%
r	8292	3.9%
t	8190	3.8%
Other values (48)	94131	43.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	214587	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	21226	9.9%
,	16743	7.8%
a	13728	6.4%
e	11833	5.5%
o	10641	5.0%
n	10605	4.9%
l	9902	4.6%
i	9296	4.3%
r	8292	3.9%
t	8190	3.8%
Other values (48)	94131	43.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	214587	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	21226	9.9%
,	16743	7.8%
a	13728	6.4%
e	11833	5.5%
o	10641	5.0%
n	10605	4.9%
l	9902	4.6%
i	9296	4.3%
r	8292	3.9%
t	8190	3.8%
Other values (48)	94131	43.9%

state
Text

Distinct	53
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	130.9 KiB

Length

Max length	14
Median length	12
Mean length	7.932091
Min length	2

Characters and Unicode

Total characters	132807
Distinct characters	47
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Alabama
2nd row	Alabama
3rd row	Alabama
4th row	Alabama
5th row	Alaska

Value	Count	Frequency (%)
alaska	1719	9.1%
texas	1272	6.7%
california	999	5.3%
new	789	4.2%
florida	636	3.4%
north	636	3.4%
carolina	583	3.1%
montana	583	3.1%
dakota	530	2.8%
virginia	530	2.8%
Other values (46)	10686	56.4%

Most occurring characters

Value	Count	Frequency (%)
a	20409	15.4%
i	13114	9.9%
n	10686	8.0%
s	10528	7.9%
o	10376	7.8%
e	7492	5.6%
r	6558	4.9%
l	5898	4.4%
t	4016	3.0%
k	3733	2.8%
Other values (37)	39997	30.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	132807	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	20409	15.4%
i	13114	9.9%
n	10686	8.0%
s	10528	7.9%
o	10376	7.8%
e	7492	5.6%
r	6558	4.9%
l	5898	4.4%
t	4016	3.0%
k	3733	2.8%
Other values (37)	39997	30.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	132807	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	20409	15.4%
i	13114	9.9%
n	10686	8.0%
s	10528	7.9%
o	10376	7.8%
e	7492	5.6%
r	6558	4.9%
l	5898	4.4%
t	4016	3.0%
k	3733	2.8%
Other values (37)	39997	30.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	132807	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	20409	15.4%
i	13114	9.9%
n	10686	8.0%
s	10528	7.9%
o	10376	7.8%
e	7492	5.6%
r	6558	4.9%
l	5898	4.4%
t	4016	3.0%
k	3733	2.8%
Other values (37)	39997	30.1%

	avg_temp	max_temp	min_temp	month	precipitation	week_of	wind_direction	wind_speed	year
avg_temp	1.000	0.977	0.975	0.238	0.032	0.050	-0.195	-0.181	0.131
max_temp	0.977	1.000	0.909	0.231	-0.027	0.062	-0.151	-0.204	0.131
min_temp	0.975	0.909	1.000	0.236	0.094	0.037	-0.233	-0.150	0.121
month	0.238	0.231	0.236	1.000	-0.018	0.022	-0.086	-0.133	0.288
precipitation	0.032	-0.027	0.094	-0.018	1.000	0.123	-0.115	0.037	0.000
week_of	0.050	0.062	0.037	0.022	0.123	1.000	-0.031	-0.008	0.328
wind_direction	-0.195	-0.151	-0.233	-0.086	-0.115	-0.031	1.000	0.060	0.070
wind_speed	-0.181	-0.204	-0.150	-0.133	0.037	-0.008	0.060	1.000	0.056
year	0.131	0.131	0.121	0.288	0.000	0.328	0.070	0.056	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	precipitation	avg_temp	max_temp	min_temp	wind_direction	wind_speed	date_full	year	month	week_of	city	code	location	state
0	0.0	39	46	32	33	4.33	2016-01-03	2016	1	3	Birmingham	BHM	Birmingham, AL	Alabama
1	0.0	39	47	31	32	3.86	2016-01-03	2016	1	3	Huntsville	HSV	Huntsville, AL	Alabama
2	0.16	46	51	41	35	9.73	2016-01-03	2016	1	3	Mobile	MOB	Mobile, AL	Alabama
3	0.0	45	52	38	32	6.86	2016-01-03	2016	1	3	Montgomery	MGM	Montgomery, AL	Alabama
4	0.01	34	38	29	19	7.8	2016-01-03	2016	1	3	Anchorage	ANC	Anchorage, AK	Alaska
5	0.09	38	44	31	9	8.7	2016-01-03	2016	1	3	Annette	ANN	Annette, AK	Alaska
6	0.05	30	36	24	9	16.46	2016-01-03	2016	1	3	Bethel	BET	Bethel, AK	Alaska
7	0.15	22	32	9	2	3.1	2016-01-03	2016	1	3	Bettles	BTT	Bettles, AK	Alaska
8	0.6	34	36	31	20	9.1	2016-01-03	2016	1	3	Cold Bay	CDB	Cold Bay, AK	Alaska
9	2.15	38	43	33	9	9.76	2016-01-03	2016	1	3	Cordova	CDV	Cordova, AK	Alaska

	precipitation	avg_temp	max_temp	min_temp	wind_direction	wind_speed	date_full	year	month	week_of	city	code	location	state
16733	0.61	44	53	35	22	7.68	2017-01-01	2017	1	1	Huntington	HTS	Huntington, WV	West Virginia
16734	0.35	28	34	21	24	10.53	2017-01-01	2017	1	1	Green Bay	GRB	Green Bay, WI	Wisconsin
16735	0.04	28	35	20	25	9.51	2017-01-01	2017	1	1	La Crosse	LSE	La Crosse, WI	Wisconsin
16736	0.11	27	34	19	25	6.33	2017-01-01	2017	1	1	Madison	MSN	Madison, WI	Wisconsin
16737	0.15	31	38	23	25	10.98	2017-01-01	2017	1	1	Milwaukee	MKE	Milwaukee, WI	Wisconsin
16738	0.08	23	32	15	23	19.98	2017-01-01	2017	1	1	Casper	CPR	Casper, WY	Wyoming
16739	0.0	32	42	21	26	15.16	2017-01-01	2017	1	1	Cheyenne	CYS	Cheyenne, WY	Wyoming
16740	0.0	17	29	4	26	1.65	2017-01-01	2017	1	1	Lander	LND	Lander, WY	Wyoming
16741	0.06	23	31	13	24	18.16	2017-01-01	2017	1	1	Rawlins	RWL	Rawlins, WY	Wyoming
16742	0.1	21	34	8	23	7.51	2017-01-01	2017	1	1	Sheridan	SHR	Sheridan, WY	Wyoming

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample